Abstract: Several approximate policy iteration schemes without value functions, which focus on policy representation using classifiers and address policy learning as a supervis...
Abstract. Many reinforcement learning domains are highly relational. While traditional temporal-difference methods can be applied to these domains, they are limited in their capaci...
Trevor Walker, Lisa Torrey, Jude W. Shavlik, Richa...
Genetic programming may be seen as a recent incarnation of a long-held goal in evolutionary computation: to develop actual computational devices through evolutionary search. Geneti...
As an efficient representation of Extended Finite State Machines, Multiway Decision Graphs (MDG) are suitable for automatic hardware verification of Register Transfer Level (RTL) ...
We examine the implications of a new hazard-free combinational logic synthesis method [8], which generates multiplexor trees from binary decision diagrams (BDDs) -- representation...
Kenneth Y. Yun, Bill Lin, David L. Dill, Srinivas ...